A new attribute reduction algorithm in continuous information systems

被引：1

作者：

Lv, Yue-Jin ^{[1
]}

Zhang, Hong-Yun ^{[1
]}

Quan, Fen ^{[2
]}

Chen, Zhi-cheng ^{[2
]}

机构：

[1] Guangxi Univ, Sch Math & Informat Sci, Nanning 530004, Peoples R China

[2] Henan Inst Sci & Technol, Dept Math, Xinxiang 453003, Peoples R China

来源：

CIS: 2007 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/CIS.2007.191

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper puts forward a new method of discretizing continuous attributes. Compared with the traditional approach, the method, proposed in this paper, can make the number of the obtained classes be more moderate, as well as the lost information be fewer. And then a simple attribute reduction algorithm is developed in continuous information systems. Finally a real example is used to illustrate its feasibility and effectiveness, respectively.

引用

页码：196 / +

页数：3

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